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Course Criteria
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3.00 Credits
An introduction to the fundamental concepts of mathematical modeling and computer simulation. The course will cover building and validating abstract models and simulating them using simulation languages. Prerequisite: CSCE 144. Recommended: CSCE 270 and MATH 341. (4)
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3.00 Credits
An introduction to the fundamental concepts necessary for design, use, and implementation of database systems. The entity-relationship and relational models are studied in detail. Individual, organization, and societal concerns related to accuracy and privacy of data. Major small group project. Prerequisite: CSCE 144 Recommended: CSCE 270. (4)
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3.00 Credits
Elementary data structures reviewed for efficiency under different conditions. Analysis of problems associated with searching and sorting. This course will also include analysis of advanced data structures including Hash Tables, and Height-balanced trees. It will include the study of algorithms for graph theory, heuristic search, and other topics selected by the instructor. There will be a significant programming component where students will implement and test algorithms. Prerequisite: CSCE 270, MATH 245. (4)
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3.00 Credits
Fundamentals of assembly language and computer organization. Topics include data and instruction formats, addressing, linking, macro definition, interrupt processing, computer architecture, and interface between assembly language and high-level programming languages. Prerequisite: CSCE 270. Strongly recommended: CSCE 346. (4)
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3.00 Credits
An introduction to the structure and operation of large computer systems. Topics include data representation, memory structure, I/O processing, multiprocessing systems such as parallel, pipeline, and stack machines. Examples of the architecture of several large systems are analyzed. Prerequisite: CSCE 380, MATH 245. (2)
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3.00 Credits
An introduction to computer networks and computer communication protocols from the physical layer through the transport layer. Topics include connection oriented and connectionless networks, error detection and correction, LANs, sockets, and routing. Application layer topics can include HTTP, DNS, and email. Prerequisite: CSCE 270. Recommended: CSCE 346, MATH 341. (4)
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1.00 - 4.00 Credits
Special Topics in Computer Science and Computer Engineering
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3.00 Credits
Designed to improve advanced problem solving and programming skills, including advanced data structures. A goal of the course is participation in the regional ACM programming competition. Pass/Fail only. Students may take this course more than once. Prerequisite: CSCE 270 or consent of instructor. (1) placement in computer science. Admission only by department invitation. (1-2)
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3.00 Credits
Selected topic from the list below or topic of current interest in the discipline. Frequent topics are: Computer Security, Parallel Computing, Graphical User Interface Programming, Parallel Processing Topologies, Genetic Algorithms, and Neural Networks. (1-4)
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3.00 Credits
Selected topic from the list below or topic of current interest in the discipline. Frequent topics are: Computer Security, Parallel Computing, Graphical User Interface Programming, Parallel Processing Topologies, Genetic Algorithms, and Neural Networks. (1-4)
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